Oleg Lashinin

According to our database, Oleg Lashinin authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Revisiting BPR: A Replicability Study of a Common Recommender System Baseline.

Aleksandr Milogradskii, Oleg Lashinin, Alexander P, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Make your next item recommendation model time sensitive.

Elizaveta Makhneva, Anna Sverkunova, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Time-Aware Item Weighting for the Next Basket Recommendations.

Aleksey Romanov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Next-basket Recommendation Constrained by Total Cost.

Denis Krasilnikov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram.

Oleg Lashinin, Kirill Bykov, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Time-Dependent Next-Basket Recommendations.

Sergey Naumov, Marina Ananyeva, Oleg Lashinin, Sergey Kolesnikov, Dmitry I. Ignatov

Proceedings of the Advances in Information Retrieval, 2023

Utilising Crowdsourcing to Assess the Effectiveness of Item-based Explanations of Merchant Recommendations.

Denis Krasilnikov, Oleg Lashinin, Maksim Tsygankov, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), 2023

RecBaselines2023: a new dataset for choosing baselines for recommender models.

Veronika Ivanova, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov

Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 45th European Conference on Information Retrieval (ECIR 2023), 2023

2022

Next-basket Recommendation Constrained by Total Cost.

Oleg Lashinin, Marina Ananyeva

Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress?

Marina Ananyeva, Oleg Lashinin, Maria Kuznetsova

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Towards Interaction-based User Embeddings in Sequential Recommender Models.

Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov

Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

2021

TTRS: Tinkoff Transactions Recommender System benchmark.

Sergey Kolesnikov, Oleg Lashinin, Michail Pechatov, Alexander Kosov

CoRR, 2021